Annie Wang
Annie Wang

Annie Wang joined MIT's ONE Lab in 2011 as a joint postdoctoral researcher with Prof. Bulovic and Prof. Jeffrey Lang after completing her Ph.D. in electrical engineering at MIT. Her graduate work in Prof. Tayo Akinwande's group (EECS, MIT Microsystems Technology Laboratory) focused on developing organic and oxide semiconductor thin film transistors (TFTs) for large area flexible electronics, particularly a low-temperature-budget, scalable fabrication process for oxide TFT circuits.

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Megan Roberts
Megan Roberts

Dr. Megan Roberts is the Assistant Director of User Services of the Immersion Lab at MIT.nano, a central facility for multidimensional and interactive data visualization, including augmented and virtual reality. She has over 10 years of experience designing devices, sensors, and materials for interface with the human body. Her research interests include medical technology and manufacturing. She previously worked at Medtronic designing implantable pacemakers. Dr. Roberts received her PhD in Mechanical Engineering from MIT.

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Anna Osherov headshot
Anna Osherov

Anna Osherov joined MIT's ONE Lab in the fall of 2013 as a postdoctoral associate and lab manager of the Eni-MIT Solar Frontiers Shared Experimental Facilities. Anna's research focuses on the correlation between morphology, microstructure, and physical properties of materials.

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William D. Oliver is a Principal Investigator in the Engineering Quantum Systems Group (MIT campus) and the Quantum Information and Integrated Nanosystems Group (MIT Lincoln Laboratory).  He provides programmatic and technical leadership targeting the development of quantum and classical high-performance computing technologies. Will’s research interests include the materials growth, fabrication, design, and measurement of superconducting qubits, as well as the development of cryogenic packaging and control electronics involving cryogenic CMOS and single-flux quantum digital logic.

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Vladimir Bulović is a Professor of Electrical Engineering at MIT holding the Fariborz Maseeh Chair in Emerging Technology. He directs the Organic and Nanostructured Electronics Laboratory, co-leads the MIT-Eni Solar Frontiers Center, leads the Tata GridEdge program, and is the Founding Director of MIT.nano, MIT's new 20,000 m2 nano-fabrication, nano-characterization, and prototyping facility that opened in the summer of 2018.

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The factory of the future is here—and MIT’s research and applications are leading the way in enabling this transformation. In our interactive 10-week course, you’ll draw on MIT’s more than 100 years of university-industry collaboration to learn how sensors, software, and systems can create a smart enterprise at any scale. From modeling to manufacturing systems to advanced data analytics, you’ll acquire the smart technology strategies you need to get—and stay—ahead. 

Motors are becoming better and cheaper—opening profitable new applications across industries. In this course for engineers and product designers, you will learn to assess and design electric motors, generators, and drive systems, with emphasis on electric drives, including traction drives and drive motors. You will also explore how modern embedded controllers enable command through digital computation, breathing life into electric machines and motion control applications. 
Ready to face the revolutions in transportation systems and discover how disruptive innovations are reshaping the mobility sector? In this immersive five-day course, you will learn to model, analyze and optimize transportation systems using the latest research from MIT and beyond, delving into demand and network modelling, artificial intelligence, simulation, optimization and control. Innovative methods are explored for emerging systems that are still in an early stage of development and deployment, such as user-centric new smart mobility services, automated and AI-driven vehicles and alternative energy vectors for decarbonizing transportation. Through real-world case studies, transportation researchers and professionals from urban and mobility organizations, the automotive industry, logistics companies, and other transportation sectors can gain actionable insights to address current and future transportation challenges.
The three-and-a-half-day course explores the fundamentals and latest innovations in the study of friction, wear, lubrication, and design of tribological systems. Participants will acquire the skills needed to improve the reliability and durability of tribological systems. Learners will dive deep into fundamentals, trends, strategies, and modern methodologies needed to design the next generation tribological systems. This course may be taken individually or as part of the Professional Certificate Program in Design & Manufacturing.
What would Artificial General Intelligence look like if its first breakthrough were not in language, but in the invention of matter? Join the frontier of superintelligence applied to agentic materials discovery. In this condensed four-day course, you will move beyond static design to master autonomous AI workflows. Through hands-on clinics, you will build multi-agent systems that do not merely predict material properties, but reason, plan, and invent next-generation smart materials - integrating large-scale computational modeling with generative AI to solve complex engineering challenges across scales, from atoms to systems, from concept to physical realization.